Sarthak Sahai

Portfolio · 2026

Initialising scan head

000%

SarthakSahai

Student Systems Engineering Intern
Canadian Space Agency

B.Eng. Space Engineering, York University · Apr 2027

Open to aerospace roles

I map worlds
& plan the path.

Space systems engineer in training. I build the instruments, payloads, software and teams that let us see other worlds clearly, and find the way across them.

1 cmLiDAR ranging accuracy characterised
40 kmNOVA payload flight altitude
0.6%from the published exoplanet radius
20engineers led on Steel Bridge
$35,000sponsorship & industry support raised
7 yrROUTE-M mission design life
706CCD frames reduced to one light curve
3.7 WNOVA peak draw against a 4 W budget
≈ $1,500Sparrow rover target build cost

01About

Hello, I’m Sarthak.

I design the instruments, systems and teams that let us measure other worlds, from a 40 km balloon to orbit around Mars.

Sarthak Sahai (he/him)
Fig. 01 — Sarthak Sahai (he/him)

Why spaceA

I chose Space Engineering because I have always been fascinated by the idea that humanity can build machines capable of leaving Earth and exploring the unknown. Spacecraft are one of the hardest engineering problems we have: every gram, watt and line of code matters, and every decision has to be trusted millions of kilometres away.

What I’ve learnedB

York’s program treats a spacecraft as a complete system — orbital mechanics, mission design, payload development and the human decisions behind a successful mission. The most rewarding part has been watching classroom concepts become real engineering problems. At the Canadian Space Agency, requirements, test data and verification decide whether a system works.

Where I’m goingC

I want to become an Assembly, Integration & Test (AIT) engineer: the person who turns ambitious ideas into working missions by connecting science objectives, spacecraft design and operations, while learning from the people and problems that make this field so inspiring.

Now
Student Systems Engineering Intern, Canadian Space Agency
Studying
B.Eng. Space Engineering, York University (Apr 2027)
Focus
LiDAR surface mapping · payloads · mission design · systems engineering
Pronouns
he/him
Fig. 02 — A short video introduction

02Experience

Flight log

Two internships, one through-line: make the measurement trustworthy, then make the machine that depends on it reliable.

Active·Internship

Canadian Space Agency

Student Systems Engineering Intern

May 2026 — Present

01LiDAR surface mapping

Map the surface

Characterising a LiDAR sensor, defining the scan for surface mapping, and building the measurement chain in-house.

ACharacterise the sensor

Processed and analyzed SICK LMS111-10100 LiDAR point clouds in Python, characterizing 1 cm ranging accuracy and a 3 cm minimum detectable obstacle height across a 20 m maximum scan range to support a TRL increase for off-world navigation and landing.

1cm

ranging accuracy

3cm

min. detectable obstacle

20m

max. scan range

Sensor: SICK LMS111-10100 · supports a TRL increase for off-world navigation & landing

BDefine the scan

Defined pushbroom LiDAR surface-mapping configurations for NASA’s Artemis 4 by trading 25 Hz and 50 Hz scan rates against 0.25° and 0.5° angular increments across varied pitch angles and traverse speeds.

0.25° increment
0.5° increment
25 Hz

27.0k pts/s

4.4 mm spacing at 1 m · 1081 pts/scan

13.5k pts/s

8.7 mm spacing at 1 m · 541 pts/scan

50 Hz

54.0k pts/s

4.4 mm spacing at 1 m · 1081 pts/scan

27.1k pts/s

8.7 mm spacing at 1 m · 541 pts/scan

Four configurations, traded across pitch angles and traverse speeds for NASA’s Artemis 4 surface mapping.

COwn the chain

Ability to replace a contracted third-party scanning service by building the in-house LiDAR measurement chain end to end — scanning module, Python processing pipeline, and point-cloud viewer.

Contracted third-party scanning serviceReplaceable in-house
  1. 01Scanning module
  2. 02Python processing pipeline
  3. 03Point-cloud viewer

In-house, end to end: from the laser to the screen.

Interactive · first principles

Run the trade study

Fire a virtual pushbroom scanner over a patch of ground with three 3 cm rocks. Change the scan rate and angular increment and watch how far across the track the smallest obstacle stays visible.

Pushbroom lab

Initialising

Trade space · scan rate × angular increment
Along-track Δ
10.0 mmv ÷ f
Across-track Δ · x = 0
4.9 mm
Across-track Δ · x = 1 m
8.8 mm
Across-track Δ · x = 2 m
20.4 mm
Usable swath (Δ ≤ 30 mm)
± 2.55 m
Points / second
—

Obstacle checkReturns on target

  • 3 cmx 0.45 m0Scanning
  • 3 cmx 1.50 m0Scanning
  • 3 cmx 2.45 m0Scanning
  • 10 cmx -1.55 m0Scanning

270° field of view · 20 m range gate · scan plane perpendicular to travel. Spacing along-track = v ÷ f; across-track ≈ H·Δθ ÷ sin β · (1 + (x·sin β ÷ H)²). “Resolved” ≥ 15 returns, “marginal” 6–14 — illustrative thresholds.

02Mission planning

Plan the drive

A separate project within the internship: rover mission planning, in a team of three. The others worked on the existing software; I built a new tool alongside it.

ABuild a new tool

Built a new rover mission-planning tool alongside the team’s legacy software, designed to run on any laptop, low-spec ones included.

person team
3
laptop, low-spec included
Any

BOwn the front end

Designed and built the interface of the new tool: what a planner sees and touches when setting up a plan and checking it.

  • Front end
  • Interface design

What a planner sees and touches.

CLook beyond the usual

Explored unconventional ways of implementing path planning, rather than only the conventional ones.

  • Path planning
  • Unconventional methods

Beyond the usual approaches.

Interactive · illustrative

Fastest or safest

Drag A and B, switch between Fastest and Safest, or close ground off with a keep-out zone. It is an original demo on made-up terrain, not CSA software or data.

Illustrative demo · MPT

Loading instrument…

Completed·Internship

Canada’s Wonderland

Rides Mechanical Intern

Apr 2023 — Jan 2024

Keep it runningA

Kept two roller coasters, Dragon Fyre and Leviathan, in safe continuous operation across 8 months through structural integrity assessments, root-cause failure analysis, and preventive mechanical work.

2
roller coasters
8 mo
continuous operation

Find the failureB

Diagnosed failures across four restraint and drive subsystems, including lap bars, shoulder restraints, lift chain, and hydraulics, using tolerance analysis, schematics, and manufacturer specifications.

4
subsystems diagnosed

Fig. — Structural & mechanical diagnostics

DRAGON FYRELEVIATHAN

03Projects

Selected missions

Six projects I scoped, built and verified — from a balloon-borne sky photometer to a Mars orbiter, an ocean spectrometer, a research rover, a mission-planning tool and a hospital robot.

01Stratospheric balloon payloadCompleted

NOVA

Night-Optical and Visibility Assessment

Role
Project & Systems Lead
Team
6-person capstone team
Period
Sep 2024 — Aug 2025
With
Canadian Space Agency (CSA)

A secondary payload built to a sub-500 g mass allocation and flown on the Canadian Space Agency’s RSOnar III stratospheric balloon to measure night-sky brightness and support resident-space-object detection at 40 km altitude.

<500g
mass allocation
40km
flight altitude
3.7W
peak draw · 4 W budget
6
subsystems traced

Fig. 01 — Ascent profile & qualification

Loading instrument…

02Mars orbital imaging missionCompleted

ROUTE-M

Reconnaissance Orbital Utility for Terrain Exploration

Role
Systems & Payload Lead
Team
Course team · ESSE 4361
Period
Jan 2026 — Apr 2026
With
Space Mission Design · York University

A Mars-orbiting high-definition imaging mission, taken through the NASA project lifecycle to Critical Design Review: a two-satellite stereo constellation mapping the full Martian surface at 1 m or better.

≤ 1m
ground sample distance
300km
sun-synchronous orbit
2
satellite constellation
7yr
design life

Fig. 02 — Mars orbit & coverage (illustrative)

Loading instrument…

03Ocean-colour spectroscopy missionCompleted

OSCAR

Ocean Spectroscopy for Carbon and Algal Risk

Role
Project Lead & Payload Lead
Team
5-person team
Period
Jan 2026 — Apr 2026
With
Space Mission Design · York University

A space-based ocean spectroscopy mission that quantifies algal biomass from orbit to support ocean-health and global-temperature monitoring, taken through the NASA project lifecycle to Critical Design Review.

5
person team led
CDR
NASA lifecycle milestone
3
trade-study axes

Summary only — no separate case study yet.

  • Spectroscopy
  • Payload architecture
  • Interface definition
  • Trade studies

Fig. 03 — Ocean-colour spectral response (illustrative)

Loading instrument…

04Reconfigurable 1:10-scale rover test platformActive

SPARROW

Sparrow — Autonomous Rover Research Platform

Role
Team Lead
Team
9-person team
Period
Sep 2026 — Present
With
Canadian Space Agency / York University

A reconfigurable 1:10-scale wheeled rover test platform for the Canadian Space Agency, aiming at a fraction of what commercial platforms cost, with a single interface that accepts LiDAR, stereo or monocular cameras.

9
engineers led
1:10
scale wheeled platform
≈ $1,500
target build cost
3
sensor types, zero platform changes

Summary only — no separate case study yet.

  • Rover
  • Sensor-agnostic interface
  • LiDAR
  • Stereo vision

Fig. 04 — Sensor-agnostic mast interface

Loading instrument…

05Rover mission-planning softwareActive

MPT

Mission Planning Tool

Role
Front end & path-planning R&D
Team
3-person team
Period
Sep 2026 — Present
With
Canadian Space Agency · Internship

Part of my CSA internship: while the rest of the team worked on the legacy software, I built a new rover mission-planning tool that runs on any laptop, low-spec included, and explored unconventional ways to implement path planning.

3
person team
Any
laptop, even with low specs

Fig. 05 — Live route planner (illustrative)

Loading instrument…

06Autonomous medication-delivery robotCompleted

CHIRON

Hospital Medicinal Dispensing Robot

Role
Mechanical & Electro-mechanical Lead
Team
3-person team
Period
Jan 2026 — Apr 2026
With
Mechatronics · York University

An autonomous robot designed to follow hospital corridors and deliver the right pill box to the right room. I led the mechanical design and electro-mechanical integration, all inside a $300 project budget.

$300
total project budget
3
person team
ESP32
controller subsystem

Fig. 06 — Prototype & corridor navigation logic

Loading instrument…

04Leadership

Leading teams

Design teams taught me the other half of engineering: people, budgets and deadlines. Plus a national stage, a toboggan design that was reused, and two years running student life for Lassonde engineers.

President·North York, ON

York University Steel Bridge

Sep 2024 — May 2026

  1. 01

    Led a 20-member multidisciplinary team through design, fabrication, integration, and testing of a 20 ft competition steel bridge, entered against engineering schools from across Canada at the national competition in Moncton, NB.

  2. 02

    Grew the team from 6 to 20 members and shifted funding from member donations to $35,000 in external sponsorships and industry collaborations.

  3. 03

    Introduced experimental triangular-truss members in place of the flat members used in traditional builds.

Competition steel bridge · side elevation

20 FT

Traditional builds use flat members.

Team

6 → 20members

Funding

$35,000

in external sponsorships & industry collaborations, shifted from member donations

Competition

20 ft

steel bridge, entered against engineering schools from across Canada at nationals in Moncton, NB

Steering & Braking Lead·North York, ON

Great Northern Concrete Toboggan Race

Sep 2024 — Feb 2025

Served as Steering and Braking Lead for GNCTR, designing and integrating the toboggan’s steering and braking systems in SolidWorks under dynamic load conditions.

Design was carried over and reused by the following year’s team; team won Best New Team and Best Ski Design and was featured in a CP24 news segment.

Award

Best New Team

Award

Best Ski Design

Press

Featured in a CP24 news segment

Steering & braking design carried over and reused by the following year’s team

VP Student Life·North York, ON

Lassonde Engineering Society

Sep 2022 — Apr 2024

05Research

A planet, from starlight

Nothing but photons from a star ~530 light-years away: 706 CCD frames, one 6-hour transit, and a pipeline that turns them into the size of a world.

Research project · Nov 2024 · York University

Observing the HAT-P-18 b Transit and Calculating Planetary Radius through Light Curves

Planetary radius

Computed from the light curve69,112 km

Published value69,560 km

0.6%

from the published radius, alongside transit depth and ingress / egress durations

  • Captured 706 CCD frames of exoplanet HAT-P-18 b at 30 s exposures across a single 6-hour transit observation at the Allan I. Carswell Observatory.
  • Developed the Python reduction and photometry pipeline using Astropy, CCDPROC, Photutils, and Astroalign to process all 706 frames.
  • Computed a planetary radius of 69,112 km from the transit light curve, within 0.6% of the published 69,560 km, alongside transit depth and ingress/egress durations.

Observed

2 October 2024

Distance

≈ 530 light-years

Telescope

1-metre telescope, Allan I. Carswell Observatory (York University)

Calibration

50 bias + 50 flat frames

  • Astropy
  • CCDPROC
  • Photutils
  • Astroalign
  • Python

Transit lab · HAT-P-18 b

Frame
041 / 706
Elapsed
T+ 00:20:00
Flux
1.0002

Out of transit · pre-ingress

One of the 706 aligned CCD frames: the star field around HAT-P-18
Aligned CCD frame

The transit lab re-plots the flux from Figure 6.1 of the original report: the dots are the per-frame measurements, the line is the report’s own best fit, and the planet’s path uses the contact frames marked there (ingress 100 → 250, egress 550 → 670). The planet-to-star size ratio comes from the 69,112 km radius and the 0.75 R☉ stellar radius the analysis adopted. Transit depth: 1.7% · 0.989 RJ · 10.85 R⊕.

06Skills

Four disciplines, one system

The tools I reach for, grouped the way a spacecraft is: model it, build it, process its data, and keep every requirement honest. STK sits in two of them.

Simulation & CAD

06

Model it before it is built.

Hardware & Fabrication

05

Then make it, in the shop.

Software & Analysis

08

Turn raw data into decisions.

Systems Engineering

04

Keep every requirement honest.

07Timeline

Mission timeline

Everything above on one axis — five years of study, two internships, two design teams, six projects and a research paper, overlapping the way real schedules do.

● Education

Bachelor of Engineering in Space Engineering

York University · North York, ON

Aug 2021 — Apr 2027

Additional certificates

  • Bergeron Entrepreneurs in Science and Technology

    Entrepreneurship and Intellectual Property Law

  • Cross-Disciplinary Mechatronics

08Résumé

The short version

Edition · September 2026 · 2 pages · PDF

The short version in 2 pages — roles, projects, dates and numbers — in the format recruiters and review boards expect.

Download PDF

Click the preview to open it in a new tab.

Page one of Sarthak Sahai's résumé, September 2026

09Contact

Let’s build something that leaves Earth.

Open to opportunities in aerospace systems engineering, mission design, AIT and space technology.

Currently
Student Systems Engineering Intern, Canadian Space Agency
Studying
B.Eng. Space Engineering, York University · Apr 2027